Triple
T17902515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elwood City |
E447615
|
entity |
| Predicate | inhabitant |
P6481
|
FINISHED |
| Object |
Prunella Deegan
Prunella Deegan is a somewhat pretentious, fortune-telling-obsessed student and recurring character from the children's animated TV series "Arthur."
|
E1297940
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Prunella Deegan | Statement: [Elwood City, inhabitant, Prunella Deegan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prunella Deegan Context triple: [Elwood City, inhabitant, Prunella Deegan]
-
A.
Emma Pritchard
Emma Pritchard is an actress known for her role in the romantic comedy film "The Holiday."
-
B.
Lucy Briers
Lucy Briers is an English actress known for her work in television, film, and theatre, including her role as Mary Bennet in the 1995 BBC adaptation of "Pride and Prejudice."
-
C.
Samantha Eggar
Samantha Eggar is a British actress best known for her acclaimed, Oscar-nominated performance in the psychological thriller film "The Collector."
-
D.
Emma Marling
Emma Marling is a pediatric surgeon on the television series "Grey's Anatomy" who briefly dates Owen Hunt.
-
E.
Tessa Piggott
Tessa Piggott is the central protagonist of the British television drama series "Love Hurts," around whose personal and professional life the story revolves.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Prunella Deegan Triple: [Elwood City, inhabitant, Prunella Deegan]
Generated description
Prunella Deegan is a somewhat pretentious, fortune-telling-obsessed student and recurring character from the children's animated TV series "Arthur."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Prunella Deegan Target entity description: Prunella Deegan is a somewhat pretentious, fortune-telling-obsessed student and recurring character from the children's animated TV series "Arthur."
-
A.
Emma Pritchard
Emma Pritchard is an actress known for her role in the romantic comedy film "The Holiday."
-
B.
Lucy Briers
Lucy Briers is an English actress known for her work in television, film, and theatre, including her role as Mary Bennet in the 1995 BBC adaptation of "Pride and Prejudice."
-
C.
Samantha Eggar
Samantha Eggar is a British actress best known for her acclaimed, Oscar-nominated performance in the psychological thriller film "The Collector."
-
D.
Emma Marling
Emma Marling is a pediatric surgeon on the television series "Grey's Anatomy" who briefly dates Owen Hunt.
-
E.
Tessa Piggott
Tessa Piggott is the central protagonist of the British television drama series "Love Hurts," around whose personal and professional life the story revolves.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49e99c3188190aead24cd3d48c7a7 |
completed | April 19, 2026, 9:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03290849b081908186afa86cd74ad1 |
completed | May 12, 2026, 1:20 p.m. |
| NEDg | Description generation | batch_6a032aca603c81908ad23b0f19813942 |
completed | May 12, 2026, 1:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a032c42d0a08190b2665adafaffdca7 |
completed | May 12, 2026, 1:33 p.m. |
Created at: April 10, 2026, 10:19 a.m.